Browsing Paulraj Murugesa Pandiyan, Assoc. Prof. Dr. by Subject "Signal classification"
Now showing items 1-4 of 4
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Brain machine interface: classification of mental tasks using short-time PCA and recurrent neural networks
(Institute of Electrical and Electronics Engineering (IEEE), 2007-11-25)Brain machine interface provides a communication channel between the human brain and an external device. Brain interfaces are studied to provide rehabilitation to patients with neurodegenerative diseases; such patients ... -
Functional link PSO neural network based classification of EEG mental task signals
(Institute of Electrical and Electronics Engineering (IEEE), 2008-08-26)Classification of EEG mental task signals is a technique in the design of Brain machine interface [BMI]. A BMI can provide a digital channel for communication in the absence of the biological channels and are used to ... -
Fuzzy based classification of EEG mental tasks for a brain machine interface
(Institute of Electrical and Electronics Engineers (IEEE), 2007-11-28)Patients with neurodegenerative diseases loose all motor movements including impairment of speech, leaving the patients totally locked-in. One possible option for rehabilitation of such patients is using a brain machine ... -
Vowel classification based on frequency response of vocal tract
(Institute of Electrical and Electronics Engineering (IEEE), 2008-05)Automatic speech recognition (ASR) has made great strides with the development of digital signal processing hardware and software especially using English as the language of choice. In this paper, a modified feature ...